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Correlation in SPSS (1).pptx
- 1. Correlation in SPSS BySmita M Gaikwad
- 2. Parametric test –Karl Pearson’s correlation In parametric data we use Pearson’s correlation and the data is parametric in nature . We have taken the data of two variable age and Income of individual respondents . The income is in thousands .
- 3. Hypothesis Ho =There is no significant correlation between age and income of individuals H1 = There is a significant correlation between age and income of individuals
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- 8. Output We cansee the sig value of 2-tailed is .000 which is less then P value , hence the Null hypothesis is rejected There is a significant correlation between age and income of individuals We can also see the Pearson correlation value is .875 which means age and income are positively correlated
- 9. Non Parametric test– Spearman’s correlation This is an example of non parametric test of correlation . The data is collected using Likert’s scale. The two variables are Style and Preference of individual on apparels. Style is rate from 1-5 ( Poor style to Excellent style) Preference is rated by 1-5 (Strongly disagree – Strongly Agree)
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- 15. We cansee the sig value of 2-tailed is .202 which is more then P value , hence the Null hypothesis is accepted There is no significant correlation between preference and style of individuals We can also see the Spearman’s correlation value is -.264 which means age and income are negatively correlated
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